Comparison of RPE (Rating of Perceived Exertion) Scales for Session RPE

2019 ◽  
Vol 14 (7) ◽  
pp. 994-996 ◽  
Author(s):  
Blaine E. Arney ◽  
Reese Glover ◽  
Andrea Fusco ◽  
Cristina Cortis ◽  
Jos J. de Koning ◽  
...  

Purpose: The session rating of perceived exertion (sRPE) is a well-accepted method of monitoring training load in athletes in many different sports. It is based on the category-ratio (0–10) RPE scale (BORG-CR10) developed by Borg. There is no evidence how substitution of the Borg 6–20 RPE scale (BORG-RPE) might influence the sRPE in athletes. Methods: Systematically training, recreational-level athletes from a number of sport disciplines performed 6 randomly ordered, 30-min interval-training sessions, at intensities based on peak power output (PPO) and designed to be easy (50% PPO), moderate (75% PPO), or hard (85% PPO). Ratings of sRPE were obtained 30 min postexercise using either the BORG-CR10 or BORG-RPE and compared for matched exercise conditions. Results: The average percentage of heart-rate reserve was well correlated with sRPE from both BORG-CR10 (r = .76) and BORG-RPE (r = .69). The sRPE ratings from BORG-CR10 and BORG-RPE were very strongly correlated (r = .90) at matched times. Conclusions: Although producing different absolute numbers, sRPE derived from either the BORG-CR10 or BORG-RPE provides essentially interchangeable estimates of perceived exercise training intensity.

Kinesiology ◽  
2019 ◽  
Vol 51 (2) ◽  
pp. 150-157 ◽  
Author(s):  
Blaine E. Arney ◽  
Jos J. de Koning ◽  
Carl Foster ◽  
John P. Porcari ◽  
Richard P. Mikat ◽  
...  

The Rating of Perceived Exertion (RPE) is an important measure of exercise intensity, which is useful both as a primary and adjunctive method of exercise prescription. However, there are multiple variants of the Borg RPE scale, primarily the Borg 6-20 RPE scale (BORG-RPE) and the Borg Category-Ratio-10 scale (BORG-CR10). There are inadequate data available to address the comparability and interchangeability of these two widely used scales. Well-trained non-athletes performed two increment cycle tests, with each scale used in a random sequence. Subjects also performed interval sessions at three intensities (50, 75 and 85% of peak power output) with each scale used in a random sequence. There were very large correlations during the incremental exercise between the conventional physiological measures (% heart rate reserve – r=0.89 & r=.87); and %VO2reserve (r=.88 & r=.90) and RPE measured by either the BORG-RPE or the BORGCR10, respectively. This pattern was also evident during the interval exercise (% heart rate reserve (r=.85 & r=.84; and blood lactate concentration – r=.74 & r=.78) and RPE measured by either the BORG-RPE or the BORG-CR10, respectively. The relationship between RPE measured by the BORG-RPE and the BORGCR10 was large and best described by a non-linear relationship for both the incremental (R2=89) and the interval (R2=.89) exercise. The incremental and interval curves were virtually overlapping. We concluded that the two most popular versions of the RPE scale, BORG-RPE and BORG-CR10, were both highly related to the conventional physiological measures and very strongly related to each other, with an easily described conversion.


PeerJ ◽  
2019 ◽  
Vol 6 ◽  
pp. e6164 ◽  
Author(s):  
Meaghan E. Maddigan ◽  
Kathleen M. Sullivan ◽  
Israel Halperin ◽  
Fabien A. Basset ◽  
David G. Behm

Music has been shown to reduce rating of perceived exertion, increase exercise enjoyment and enhance exercise performance, mainly in low-moderate intensity exercises. However, the effects of music are less conclusive with high-intensity activities. The purpose of this with-participant design study was to compare the effects of high tempo music (130 bpm) to a no-music condition during repeated high intensity cycling bouts (80% of peak power output (PPO)) on the following measures: time to exercise end-point, rating of perceived exertion (RPE), heart rate (HR), breathing frequency, ventilatory kinetics and blood lactate (BL). Under the music condition, participants exercised 10.7% longer (p = 0.035; Effect size (ES) = 0.28) (increase of 1 min) and had higher HR (4%; p = 0.043; ES = 0.25), breathing frequency (11.6%; p < 0.001; ES = 0.57), and RER (7% at TTF; p = 0.021; ES = 1.1) during exercise, as measured at the exercise end-point. Trivial differences were observed between conditions in RPE and other ventilatory kinetics during exercise. Interestingly, 5 min post-exercise termination, HR recovery was 13.0% faster following the music condition (p < 0.05) despite that music was not played during this period. These results strengthen the notion that music can alter the association between central motor drive, central cardiovascular command and perceived exertion, and contribute to prolonged exercise durations at higher intensities along with a quicken HR recovery.


2018 ◽  
Author(s):  
Meaghan Maddigan ◽  
Kathleen M Sullivan ◽  
Fabien A Basset ◽  
Israel Halperin ◽  
David G Behm

Music has been shown to reduce rating of perceived exertion, increase exercise enjoyment and enhance exercise performance, mainly in low-moderate intensity exercises. However, the effects of music are less conclusive with high-intensity activities. The purpose of this study was to compare the effects of high tempo music (130 bpm) to a no-music condition during repeated high intensity cycling bouts (80% of peak power output (PPO)) on the following measures: time to task failure (TTF), rating of perceived exertion (RPE), heart rate (HR), breathing frequency, ventilatory kinetics and blood lactate (BL). Under the music condition, participants exercised 10.7% longer (p = 0.035; Effect size (ES)= 0.28) (increase of one minute) and had higher HR (4%; p= 0.043; ES= 0.25), breathing frequency (11.6%; p= 0.0006; ES= 0.57), and RER (7% at TTF; p= 0.021; ES=1 .1) during exercise. Trivial differences were observed between conditions in RPE and other ventilatory kinetics during exercise. Interestingly, HR recovery was 13.0% faster following the music condition (p< 0.05). These results strengthen the notion that music can alter the association between central motor drive, central cardiovascular command and perceived exertion, and contribute to prolonged exercise duration at higher intensities along with a quicken HR recovery.


2021 ◽  
Author(s):  
Geoffrey M Minett ◽  
Valentin Fels-Camilleri ◽  
Joshua J Bon ◽  
Franco Milko Impellizzeri ◽  
David N Borg

Objectives: This study aimed to examine the effect of peer presence on the session rating of perceived exertion (RPE) responses. Design: Within-participant design. Method: Fourteen males, with mean (standard deviation) age 22.4 (3.9) years, peak oxygen uptake 48.0 (6.6) mL·kg-1·min-1 and peak power output 330 (44) W, completed an incremental cycling test and three identical experimental sessions, in groups of four or five. Experimental sessions involved 24 min of cycling, whereby the work rate alternated between 40% and 70% peak power output every 3 min. During cycling, heart rate was collected every 3 min, and session-RPE was recorded 10 min after cycling, in three communication contexts: in written form unaccompanied (intrapersonal communication); verbally by the researcher only (interpersonal communication); and in the presence of the training group. Session-RPE was analysed using ordinal regression and heart rate using a linear mixed-effects model, with models fit in a Bayesian framework. Results: Session-RPE was voted higher when collected in the group's presence compared to when written (odds ratio = 5.3, 95% credible interval = 1.6 to 17.6). On average, the posterior probability that session-RPE was higher in the group setting than when written was 0.57. Session-RPE was not different between the group and verbal, or verbal and written collection contexts. Conclusions: This study suggests contextual psychosocial inputs influence session-RPE, and highlights the importance of session-RPE users controlling the measurement environment when collecting votes.


2018 ◽  
Vol 126 (1) ◽  
pp. 119-142
Author(s):  
Daniel G da Silva Machado ◽  
Eduardo C. Costa ◽  
Hannah Ray ◽  
Louisa Beale ◽  
Nikos L. D. Chatzisarantis ◽  
...  

We assessed the short-term effects of varying the volume of high-intensity interval training (HIIT) on psychological and physiological responses of 23 healthy adult males ( M = 21 years; M peak oxygen uptake [VO2peak] = 47.2 ml·kg−1·min−1). Participants were randomly assigned to low- and very-low-volume HIIT groups and engaged in nine supervised exercise sessions over three weeks. The low-volume HIIT group performed 8-12 60-second work bouts on a cycle ergometer at the peak power output achieved during the incremental test, interspersed by 75 seconds of low-intensity active recovery. The very-low-volume HIIT performed 4-6 work bouts with the same intensity, duration, and rest intervals. During training, participants’ ratings of perceived exertion (Borg Category Ratio-10 scale) and their affective responses (Feeling Scale −5/+5) during the last 15 seconds of each work bout were recorded. Physiological data were VO2peak, endurance, and anaerobic performance before and after the intervention. Throughout training, participants in the very-low-volume group (relative to the low-volume group) reported lower ratings of perceived exertion in Week 1 ( M = 4.1 vs. M = 6.3; p < .01) and Week 3 ( M = 4.0 vs. M = 6.2; p < .01), and higher affective response in these same two weeks (Week 1: M = 1.9 vs. M = 0.3; p = .04; Week 3: M = 2.1 vs. M = 0.9; p = .06). Regarding physical fitness, Wingate peak power increased significantly after training in the very-low-volume HIIT group ( M = 1,049 W vs. M = 1,222 W; p < .05), but not in the low-volume HIIT group ( M = 1,050 W vs. M = 1,076 W). No significant change was found after training in physiological variables of peak power output, VO2peak, and endurance performance. In summary, in this short-term training period, the very-low-volume HIIT enhanced anaerobic capacity and was perceived as less strenuous and more pleasurable than low-volume HIIT.


Author(s):  
Cristina Cortis ◽  
Andrea Fusco ◽  
Mitchell Cook ◽  
Scott T. Doberstein ◽  
Cordial Gillette ◽  
...  

Although cycling class intensity can be modified by changing interval intensity sequencing, it has not been established whether the intensity order can alter physiological and perceptual responses. Therefore, this study aimed to determine the effects of interval intensity sequencing on energy expenditure (EE), physiological markers, and perceptual responses during indoor cycling. Healthy volunteers (10 males = 20.0 ± 0.8years; 8 females = 21.3 ± 2.7years) completed three randomly ordered interval bouts (mixed pyramid—MP, ascending intervals—AI, descending intervals—DI) including three 3-min work bouts at 50%, 75%, and 100% of peak power output (PPO) and three 3-min recovery periods at 25% PPO. Heart rate (HR) and oxygen consumption (VO2) were expressed as percentages of maximal HR (%HRmax) and VO2 (%VO2max). EE was computed for both the work bout and for the 5-min recovery period. Session Rating of Perceived Exertion (sRPE) and Exercise Enjoyment Scale (EES) were recorded. No differences emerged for % HRmax (MP = 73.3 ± 6.1%; AI = 72.1 ± 4.9%; DI = 71.8 ± 4.5%), % VO2max (MP = 51.8 ± 4.6%; AI = 51.4 ± 3.9%; DI = 51.3 ± 4.5%), EE (MP = 277.5 ± 39.9 kcal; AI = 275.8 ± 39.4 kcal; DI = 274.9 ± 42.1 kcal), EES (MP = 4.9 ± 1.0; AI = 5.3 ± 1.1; DI = 4.9 ± 0.9), and sRPE (MP = 4.9 ± 1.0; AI = 5.3 ± 1.1; DI = 4.9 ± 0.9). EE during recovery was significantly (p < 0.005) lower after DI (11.9 ± 3.2 kcal) with respect to MP (13.2 ± 2.5 kcal) and AI (13.3 ± 2.5 kcal). Although lower EE was observed during recovery in DI, interval intensity sequencing does not affect overall EE, physiological markers, and perceptual responses.


Author(s):  
Daiane Wommer ◽  
Tiago Turnes ◽  
Kristopher Mendes Souza ◽  
Luiz Guilherme Antonacci Guglielmo

The current study aimed to compare time spent above 90% V̇O2max (tV̇O2max) during 3 work-matched interval training protocols comprising 8 x 60-second exercise efforts with decreasing, increasing, or constant work rate distribution within each exercise interval. Ten healthy male subjects (age: 27.6 ± 5.0 years; V̇O2max: 3.82 ± 0.52 L•min-1) performed an incremental test to determine V̇O2max and peak power output (Pmax). During visits 2, 3, and 4, three work-matched interval training sessions comprising 8 x 60 s efforts: 60 s active recovery with the power output held constant (100%Pmax; ITCON), decreasing (from 110 to 90%Pmax; ITDEC), or increasing (from 90 to 110%Pmax; ITINC) linearly throughout each work interval. Time sustained above 90% of V̇O2max (tV̇O2max) or HRmax (tHRmax), blood lactate concentrations (BLC) and rating of perceived exertion (RPE) were measured. The tV̇O2max (ITCON: 274 ± 132; ITDEC: 313 ± 102; ITINC: 310 ± 113 s, P = 0.37), tHRmax (ITCON: 396 ± 180; ITDEC: 441 ± 207; ITINC: 390 ± 212 s, P = 0.47), BLC (P = 0.73), and final RPE (P = 0.75) were similar among protocols. In conclusion, work-matched interval training induced similar time near V̇O2max and associated physiological responses regardless of work rate manipulation.


2016 ◽  
Vol 11 (8) ◽  
pp. 1088-1093 ◽  
Author(s):  
Joshua Christen ◽  
Carl Foster ◽  
John P. Porcari ◽  
Richard P. Mikat

Purpose:The session rating of perceived exertion (sRPE) has gained popularity as a “user friendly” method for evaluating internal training load. sRPE has historically been obtained 30 min after exercise. This study evaluated the effect of postexercise measurement time on sRPE after steady-state and interval cycle exercise. Methods:Well-trained subjects (N = 15) (maximal oxygen consumption = 51 ± 4 and 36 ± 4 mL/kg [cycle ergometer] for men and women, respectively) completed counterbalanced 30-minute steady-state and interval training bouts. The steady-state ride was at 90% of ventilatory threshold. The work-to-rest ratio of the interval rides was 1:1, and the interval segment durations were 1, 2, and 3 min. The high-intensity component of each interval bout was 75% peak power output, which was accepted as a surrogate of the respiratory compensation threshold, critical power, or maximal lactate steady state. Heart rate, blood lactate, and rating of perceived exertion (RPE) were measured. The sRPE (category ratio scale) was measured at 5, 10, 15, 20, 25, 30, and 60 min and 24 h after each ride using a visual analog scale (VAS) to prevent bias associated with specific RPE verbal anchors. Results:sRPE at 30 min postexercise followed a similar trend: steady state = 3.7, 1 min = 3.9, 2 min = 4.7, 3 min = 6.2. No significant differences (P > .05) in sRPE were found based on postexercise sampling times, from 5 min to 24 h postexercise. Conclusions:Postexercise time does not appear to have a significant effect on sRPE after either steady-state or interval exercise. Thus, sRPE appears to be temporally robust and is not necessarily limited to the 30-min-postexercise window historically used with this technique, although the presence or absence of a cooldown period after the exercise bout may be important.


Author(s):  
Geoffrey M. Minett ◽  
Valentin Fels-Camilleri ◽  
Joshua J. Bon ◽  
Franco M. Impellizzeri ◽  
David N. Borg

Purpose: This study aimed to examine the effect of peer presence on session rating of perceived exertion (RPE) responses. Method: Fourteen males, with mean (SD) age 22.4 (3.9) years, peak oxygen uptake 48.0 (6.6) mL·kg−1·min−1, and peak power output 330 (44) W, completed an incremental cycling test and 3 identical experimental sessions, in groups of 4 or 5. Experimental sessions involved 24 minutes of cycling, whereby the work rate alternated between 40% and 70% peak power output every 3 minutes. During cycling, heart rate was collected every 3 minutes, and session-RPE was recorded 10 minutes after cycling, in 3 communication contexts: in written form unaccompanied (intrapersonal communication), verbally by the researcher only (interpersonal communication), and in the presence of the training group. Session-RPE was analyzed using ordinal regression and heart rate using a linear mixed-effects model, with models fit in a Bayesian framework. Results: Session-RPE was voted higher when collected in the group’s presence compared with when written (odds ratio = 4.26, 95% credible interval = 1.27–14.73). On average, the posterior probability that session-RPE was higher in the group setting than when written was .53. Session-RPE was not different between the group and verbal, or verbal and written collection contexts. Conclusions: This study suggests that contextual psychosocial inputs influence session-RPE and highlights the importance of session-RPE users controlling the measurement environment when collecting votes.


2018 ◽  
Author(s):  
Meaghan Maddigan ◽  
Kathleen M Sullivan ◽  
Fabien A Basset ◽  
Israel Halperin ◽  
David G Behm

Music has been shown to reduce rating of perceived exertion, increase exercise enjoyment and enhance exercise performance, mainly in low-moderate intensity exercises. However, the effects of music are less conclusive with high-intensity activities. The purpose of this study was to compare the effects of high tempo music (130 bpm) to a no-music condition during repeated high intensity cycling bouts (80% of peak power output (PPO)) on the following measures: time to task failure (TTF), rating of perceived exertion (RPE), heart rate (HR), breathing frequency, ventilatory kinetics and blood lactate (BL). Under the music condition, participants exercised 10.7% longer (p = 0.035; Effect size (ES)= 0.28) (increase of one minute) and had higher HR (4%; p= 0.043; ES= 0.25), breathing frequency (11.6%; p= 0.0006; ES= 0.57), and RER (7% at TTF; p= 0.021; ES=1 .1) during exercise. Trivial differences were observed between conditions in RPE and other ventilatory kinetics during exercise. Interestingly, HR recovery was 13.0% faster following the music condition (p< 0.05). These results strengthen the notion that music can alter the association between central motor drive, central cardiovascular command and perceived exertion, and contribute to prolonged exercise duration at higher intensities along with a quicken HR recovery.


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